
G. O’Neill contributed to the spm/spm repository by developing and enhancing MATLAB-based tools for neuroimaging workflows. Over three months, O’Neill delivered a configurable MATLAB function for rendering the SPM logo, supporting customizable branding across technical materials through 3D transformations and graphics generation. They improved the DAiSS Wizard by refining data visualization, enabling flexible color limits, and making file loading more robust, which streamlined analyst workflows. O’Neill also addressed a visualization bug affecting EEG sensor plots, ensuring accurate electrode display for downstream analyses. Their work demonstrated depth in MATLAB scripting, data visualization, and signal processing, resulting in more reliable and maintainable code.

June 2025 monthly summary for spm/spm: Focused feature development around branding tooling, delivering a configurable MATLAB function to render the SPM logo with options for version, style, dimensions, colors, and isometric projection. This work supports consistent logo visuals across demos, reports, and product materials, reinforcing brand identity and verification workflows.
June 2025 monthly summary for spm/spm: Focused feature development around branding tooling, delivering a configurable MATLAB function to render the SPM logo with options for version, style, dimensions, colors, and isometric projection. This work supports consistent logo visuals across demos, reports, and product materials, reinforcing brand identity and verification workflows.
Month: 2024-12 — Focused on stabilizing EEG visualization in spm/spm by fixing the electrode visibility and improving sensor-source localization in EEG plots. Delivered a targeted bug fix with clear commit-level changes, enhancing visualization reliability for end users and downstream analyses.
Month: 2024-12 — Focused on stabilizing EEG visualization in spm/spm by fixing the electrode visibility and improving sensor-source localization in EEG plots. Delivered a targeted bug fix with clear commit-level changes, enhancing visualization reliability for end users and downstream analyses.
Monthly summary for 2024-11 focusing on DAiSS Wizard enhancements in spm/spm. Delivered visualization improvements, robust loading, updated experimental flag behavior, and optional data output, resulting in a more reliable workflow and faster analyst iteration.
Monthly summary for 2024-11 focusing on DAiSS Wizard enhancements in spm/spm. Delivered visualization improvements, robust loading, updated experimental flag behavior, and optional data output, resulting in a more reliable workflow and faster analyst iteration.
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